Publications

Moustafa S , Kummer L, Fetzel S, Kriege NM , Gansterer WN. Visualization and Analysis of the Loss Landscape in Graph Neural Networks.. 2025. doi: 10.1007/978-3-032-04552-2_9

Roth B , Luz de Araujo PH , Xia Y , Kaltenbrunner S , Korab C. Specification Overfitting in Artificial Intelligence. Artificial Intelligence Review. 2024 Dec 20;58(2):35. doi: 10.1007/s10462-024-11040-6

Grosse-Wentrup M , Kumar A, Meunier A, Zimmer M. Neuro-cognitive multilevel causal modeling: A framework that bridges the explanatory gap between neuronal activity and cognition. PLoS Computational Biology. 2024 Dec 16;20(12):e1012674. doi: 10.1371/journal.pcbi.1012674

Beer A , Weber P, Miklautz L, Leiber C, Durani W, Böhm C et al. SHADE: Deep Density-based Clustering. In IEEE International Conference on Data Mining (ICDM) 2024. 2024

Miao Z, Meunier A, Žák MR , Grosse-Wentrup M. Exploring Artificial Neural Network Models for c-VEP Decoding in a Brain-Artificial Intelligence Interface. 2024. Paper presented at The 5th International Workshop on Machine Learning for EEG Signal Processing, Lisbon.

Graf E, Partheymüller J , Kritzinger S, Bronner L. Revisiting eligibility effects of voting at 16: Insights from Austria based on regression discontinuity analyses. Electoral Studies. 2024 Dec;92:102870. doi: 10.1016/j.electstud.2024.102870

Cuchiero C, Primavera F, Papariello-Svaluto-Ferro S. Holomorphic jump-diffusions. 2024 Nov 6.

Steinberger L. Efficiency in local differential privacy. Annals of Statistics. 2024 Oct;52(5): 2139-2166.

Bomze IM, Rinaldi F, Zeffiro D. Frank–Wolfe and friends: a journey into projection-free first-order optimization methods. Annals of Operations Research. 2024 Sept 16;343(2):607-638. doi: 10.1007/s10479-024-06251-7

Cuchiero C, Flonner E, Kurt K. Robust financial calibration: a Bayesian approach for neural SDEs. 2024 Sept 12.

Raggam P, Eder M, Popa AT, Fugger P, Grosse-Wentrup M. An EMG-based Brain-Computer Interface for Communication-impaired Patients: A Case Study. 2024. Paper presented at 9th Graz Brain-Computer Interface Conference 2024, Graz, Austria. doi: 10.3217/978-3-99161-014-4-026

Zidar LM, Raggam P, Mohammadian F, Barłoga A, Grosse-Wentrup M. Revire: A virtual realitiy platform for BCI-based motor rehabilitation. 2024. Paper presented at 9th Graz Brain-Computer Interface Conference 2024, Graz, Austria. doi: 10.3217/978-3-99161-014-4-048

Jahn P, Frey CMM, Beer A, Leiber C, Seidl T. Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms. In Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024.. Vol. 14947. Springer Cham. 2024. p. 3-21. (Lecture Notes in Computer Science).

Gilhuber S, Beer A, Ma Y, Seidl T. FALCUN: A Simple and Efficient Deep Active Learning Strategy. In Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024).. Vol. 14943. Cham: Springer. 2024. p. 421-439. (Lecture Notes in Computer Science).

Piecka M , Hutschenreuter S , Alves J. Towards a complete picture of the Sco-Cen outflow. Astronomy & Astrophysics. 2024 Sept 1;689:A84. doi: 10.1051/0004-6361/202450936

Kummer L , Moustafa S , Schrittwieser S , Gansterer W , Kriege NM. Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: KDD 2024. New York: Association for Computing Machinery (ACM). 2024. p. 1428-1439 doi: 10.1145/3637528.3671890

Bause F , Permann C , Kriege NM. Approximating the Graph Edit Distance with Compact Neighborhood Representations. In Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. . Vol. 14945. Springer Cham. 2024. p. 300-318. (Lecture Notes in Computer Science, Vol. 14945). doi: 10.1007/978-3-031-70362-1_18

Bause F , Moustafa S, Langguth J, Gansterer W , Kriege NM. On the Two Sides of Redundancy in Graph Neural Networks. In Bifet A, Davis J, Krilavičius T, Kull M, Ntoutsi E, Žliobaitė I, editors, Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. Vol. 14946. Springer Cham. 2024. p. 371-388. (Lecture Notes in Computer Science, Vol. 14946). doi: 10.1007/978-3-031-70365-2_22

Eder M, Xu J, Grosse-Wentrup M. Benchmarking brain–computer interface algorithms: Riemannian approaches vs convolutional neural networks. Journal of Neural Engineering. 2024 Aug 21;21(4):044002. doi: 10.1088/1741-2552/ad6793

Posch L, Alves J, Miret-Roig N, Ratzenböck S, Großschedl J, Meingast S. Chains of creation: feedback driven star formation in the Sco-Cen association. 2024. European Astronomical Society Annual Meeting 2024, Padova, Italy.